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Open-source MCP server unifies Hunter.io and Apollo.io for AI lead enrichment

By PulseAugur Editorial · [1 sources] ·

A developer has created an open-source Model Context Protocol (MCP) server called b2b-enrichment-mcp, designed to enhance AI agent capabilities by integrating data from multiple B2B lead enrichment APIs. This server combines Hunter.io for email data and Apollo.io for company information, providing a unified tool layer for AI models like Claude. The project, built with asynchronous Python and the FastMCP SDK, aims to overcome the limitations of using single APIs or complex Zapier workflows for lead generation. AI

IMPACT Enhances AI agent capabilities by providing direct access to unified B2B data, improving lead enrichment accuracy.

RANK_REASON Developer built a tool integrating existing APIs for AI agent use.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Open-source MCP server unifies Hunter.io and Apollo.io for AI lead enrichment

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Tool
Developer built a tool integrating existing APIs for AI agent use.
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product, infra
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High
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100 days old
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Alex ·

    How I Built an MCP Server That Combines Hunter.io and Apollo for B2B Lead Enrichment

    <p><strong>AI agents are powerful, but without real data they're just confident bullshitters. You can plug Claude into a CRM and ask "find me leads in fintech with 50-200 employees" all day, and it'll make stuff up. Until you give it tools that actually fetch data.</strong><br />…

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